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AI robotic picking, bagging and kitting for warehouses
Updated
OSARO develops AI-powered robotic systems for warehouse automation, handling picking, bagging, kitting and depalletization in high-variability fulfillment environments. The company reports production deployments across five countries.
OSARO combines behavioral cloning, deep reinforcement learning and large language model integration. As of 2025 it uses the OSARO VLA foundation model, working with NVIDIA GR00T, so robots can be directed through human demonstrations and task descriptions. SightWorks perceives items in real time, and AutoModel learns new SKUs while the line keeps running.
OSARO serves fulfillment and warehouse operators dealing with many SKUs and changing product mixes. The vendor describes itself as trusted by fulfillment leaders but does not name customers on its homepage.
OSARO does not publish pricing. Robotic systems are scoped per site and quoted after an assessment of throughput and item variety.
Alternatives include Plus One Robotics for robotic picking vision, Mujin for warehouse automation controllers, and Ambi Robotics for AI sorting and picking.
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
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GovernmentCSA STAR
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